• 한국약용작물학회지
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• 제28권4호
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• pp.245-253
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• 2020

Background: Research on hot water extracts of medicinal plants that are easily applicable in the clinical setting is essential. To confirm the anti-inflammatory-related active compounds present in the hot water extract of Eriobotrya japonica leaves, ability to inhibit nitric oxide (NO) production was measured and active compounds isolated from the extract were analyzed. Methods and Results: Sovent fractionation by solvent was performed to identify the active compounds present in the hot water extract, and the ability of the extract and the fractions obtained to inhibit NO production was measured. Subsequently, based on the results of liquid chromatography (LC) profile analysis of the n-butanol fraction that had a relatively high inhibitory ability of NO production, six subfractions were separated around the main peak. Among the separated subfractions spectra from mass spectroscopy (MS) were analyzed and standard comparisons were performed on the compounds of the three main peaks on the chromatogram. NO production inhibitory activity of subfraction 2 identified as neochlorogenic acid was the highest with an IC₅₀ of 18.49 ㎍/㎖ followed by that of subfraction 5 identified as cryptochlorogenic acid with IC₅₀ of 25.82 ㎍/㎖. Conclusions: Our result, it was confirmed that several caffeoylquinic acids, including neochlorogenic acid and cryptochlorogenic acid present in the hot water extract of E. japonica leaves have an important role as compounds exhibiting anti-inflammatory activity.

• 한국물환경학회지
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• 제34권6호
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• pp.579-590
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• 2018

The lakes' metabolism bears important information for the assessment of the carbon budget due to the accumulation or loss of carbon in the lake as well as the dynamics of the food webs through primary production. A lake-scale metabolism is evaluated by Gross Primary Production (GPP), Ecosystem Respiration (R), and Net Ecosystem Production (NEP), which is the difference between the first two values. Methods for estimating GPP and R are based on the levels carbon and oxygen. Estimation of carbon is expensive because of the use of radioactive materials which requires a high degree of proficiency. The purpose of this study was to estimate Lake Daecheong ecosystem metabolism using high frequency water temperature data and DO measurement sensor, widely utilized in the field of water quality monitoring, and to evaluate the possibility of using the application method. High frequency data was collected at intervals of 10 minutes from September to December 2017 by installing a thermistor chain and a DO sensor in downstream of Daechung Dam. The data was then used to estimate GPP, R and NEP using the R public program LakeMetabolizer, and other metabolism models (mle, ols, kalman, bookkeep). Calculations of gas exchange coefficient methods (cole, crusius, heiskanen, macIntyre, read, soloviev, vachon) were compared. According to the result, Lake Daecheong has some deviation based on the application method, but it was generally estimated that the NEP value is negative and acts as a source of atmospheric carbon in a heterotrophic system. Although the high frequency sensor data used in this study had negative and positive GPP and R values during the physical mixing process, they can be used to monitor real-time metabolic changes in the ecosystem if these problems are solved.

• 멤브레인
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• 제14권3호
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• pp.185-191
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• 2004

원자력 발전의 고온 가스로(high temperature gas-cooled reactor, HTGR)의 냉각제로 사용되는 He가스의 열에너지를 이용하여 물을 분해해서 수소를 생산하는 "열화학적 수소제조 IS프로세스"에 대해 설명하였다. 특히, 분리막 기술의 이용에 관한 연구를 중점으로 정리하였다. 고온 원자력 열에너지를 이용한 열화학적 수소 제조법은 실현 가능한 단계까지 왔다고 생각되며, 아직 연구 개발 과제가 많이 남아 있지만, 미래의 청정에너지 중의 하나인 수소를 대량 생산할 수 있는 가능성을 갖고 있다.

• Preventive Nutrition and Food Science
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• 제7권4호
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• pp.353-357
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• 2002

We have previously demonstrated that kudzu root extracts have a hypocholesterolemic effect on rats fed diets high in fat and cholesterol. To further elucidate the mechanism involved, in this study we investigated the effect of water extracts of kudzu root, Pueraria radix, on the production of apolipoprotein B$_{100}$ (APo B$_{100}$) in HepG$_2$ liver cells and secretion of apolipoprotein B$_{48}$ (Apo B$_{48}$) in Caco$_2$ cells. Human cell lines, HepG$_2$ liver cells and Caco$_2$ intestinal epithelial cells, were grown with various concentrations (0%, 0.5%, 1.0%, 1.5%, 2.0%) of water extracts of kudzu root in the media. The kudzu root extract decreased Apo B$_{100}$ production and secretion. Treatment of HeP G$_2$ cells with the kudzu root extract also significantly decreased the intracellular total and free cholesterol concentration, and also decreased esterified cholesterol but was only significant at the highest dose of 2%. Apo B$_{48}$ production, but not secretion, from enterocytes was lowered by the kudzu root extracts. This research provided evidence that the hypocholesterolemic properties of kudzu root may be a consequence of decreased production and secretion of Apo B$_{100}$ in the liver and Apo B$_{48}$ in the intestine.

• Asian-Australasian Journal of Animal Sciences
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• 제19권3호
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• pp.305-308
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• 2006

A genetic study was conducted to elucidate the effect of alpha-Lactalbumin (${\alpha}$-LA) gene polymorphism on milk production traits involving total milk yield and daily milk yield during first lactation in two breeds of water buffaloes namely, Murrah and Bhadawari. Single strand conformation polymorphism (SSCP) was carried out to explore genetic polymorphism present at this locus. For this study, exon 1 region of ${\alpha}$-LA was analyzed. Finally, polymorphism data was associated with milk production traits by employing least square analysis. In Murrah buffalo, five genotypes such as AB, BB, BC, CC and CD and four alleles A, B, C and D were detected whereas in Bhadawari buffalo two genotypes namely, AB and BC and three alleles namely, A, B and C were found. Genotypes showed significant effects ($p{\leq}0.05$) on total milk yield and daily milk yield in Bhadawari buffalo but had non-significant effects on these traits in Murrah buffalo.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 춘계학술대회
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• pp.81-81
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• 2022

• 한국수소및신에너지학회논문집
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• 제26권1호
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• pp.8-14
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• 2015

In this study, the model biomass was used for hydrogen production by supercritical water gasification (SCWG). Model biomasses were glycerol, glycine, lignin and cellulose. The feed concentration was set to 1 wt%. Experiments were conducted in a reactor at $440^{\circ}C$ and above 26.3 MPa for 30 min. The effects of catalysts such as alkali metal salt ($K_2CO_3$ and $Na_2CO_3$) and transition metal salts ($Ni(NO_3)_2$, $Fe(NO_3)_3$ and $Mn(NO_3)_2$) on the gasification were systematically investigated. No tar or coke was observed in all experiments. The results showed that the gasification efficiency increased with various catalysts. For the cellulose and glycerol, all catalysts were effective for the promoted $H_2$ production compared with no catalyst. The significant decrease of $H_2$ production compared with no catalyst was observed with $Na_2CO_3$ and $Fe(NO_3)_3$ for glycine and lignin. respectively. The highest H2 production, 1.24 mmol was obtained for glycerol-SCWG with $Mn(NO_3)_2$. Conclusively, the addition of $Mn(NO_3)_2$ enhanced all model biomass gasification efficiency and increased the hydrogen production promoting the supercritical water reaction.

• 동의생리병리학회지
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• 제26권3호
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• pp.301-305
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• 2012

The purpose of this study is to investigate effects of Anisi stellati Fructus Water Extract on hydrogen peroxide production in RAW 264.7 mouse macrophages. Anisi stellati Fructus were extracted by hot water. Effects of Anisi stellati Fructus water extract (AS) on hydrogen peroxide production in RAW 264.7 were measured by dihydrorhodamine 123 assay after 20, 24, 28, 44, 48, and 52 h incubation at the concentrations of 10, 25, 50, and $100{\mu}g/mL$. For 20 h incubation, AS significantly increased hydrogen peroxide production in RAW 264.7 cells by $108.6{\pm}1.56%$, $109.5{\pm}1.94%$, $108.4{\pm}1.14%$, and $107.3{\pm}3.06%$ at the concentrations of 10, 25, 50, and $100{\mu}g/mL$ (P < 0.05) respectively. For 24, 28, 44, 48, and 52 h incubation, AS also significantly increased hydrogen peroxide production in RAW 264.7 cells at the concentrations of 10, 25, 50, and $100{\mu}g/mL$ (P < 0.05). These results suggest that Anisi stellati Fructus has the immune - enhancing property related with its increase of hydrogen peroxide production in macrophages.

• 생명과학회지
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• 제16권1호
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• pp.6-11
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• 2006

Aspegillus niger 세포에 의한 구연산 생산에 대한 발효 매체로서 우유공장폐수가 연구되었다. 발효매체에 $Mn^{2+},\;Fe^{2+}\;and\;Cu^{2+}$의 첨가가 구연산 생산을 일정하게 증가시켰다. 그러나 다른 금속이온인 $Mg^{2+}$의 첨가는 구연산 생산을 감소시켰다. 구연산의 농도는 우유공장폐수에서 환원당 농도의 농도가 50 g/l와 100 g/1로 Aspegillus niger ATCC 9142에 의한 batch bioreactor에서 각각 7.2 g/1과 16.5 g/l로 높게 표시되었다. 본 실험에서 적용한 수리적 모델식들이 세포성장의 예상, 구연산 생산, 기질소모 속도에 대해 잘 적용되는지를 알아보기 위해서 발효반응 모델식에 적용시켜 본 결과 실험치와 잘 부합되었다.

• 수산경영론집
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• 제54권1호
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• pp.37-49
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• 2023

Climate change is a major global problem. Oysters, one of the most representative farmed fish in Korea, are attracting attention as candidates for blue carbon, an alternative to carbon neutrality. This study is analyzed by the SSP scenarios to determine the impact of oyster aquaculture production according to climate change. Based on the analysis, future productions of oysters are predicted by the SSP scenario. Significant differences by the SSP scenario are confirmed through predictive power tests among scenarios. Regression analysis was conducted from January 2001 to December 2014. As a result of the analysis, water temperature, water temperature quadratic term, salinity, salinity quadratic term, and month × water temperature cross term were estimated as significant variables. Oyster production which is predicted by the SSP scenario based on the significant variables from 2015 to 2022 was compared with actual production. The model with the highest predictive power was selected by RMSE and MAPE criteria. The predictive power was compared with the MDM test to determine which model was superior. As a result, based on RMSE and MAPE, the SSP1-2.6 scenario was selected as the best model and the SSP1-2.6, SSP2-4.5, and SSP3-7.0 scenarios all showed the same predictive power based on the MDM test. In conculusion, this study predicted oyster aquaculture production by 2030, not the distant future, due to the short duration of the analytical model. This study was found that oyster aquaculture production increased in all scenarios and there was no significant difference in predictive power by the SSP scenario.